XPS: CLCCA: Allocating Heterogeneous Datacenter Hardware to Strategic Agents

随着云计算的民主化，越来越多的软件任务需要云计算进行计算。可扩展的数据中心计算是21世纪世纪的当务之急，而能源效率是最普遍的挑战。提高从海量数据中提取价值的能力需要在效率上有数量级的提高。虽然异构硬件系统提供了效率，但它们也使资源管理复杂化。管理新的硬件架构与经济机制是一个质的新的方法来减轻这种complications.The研究人员提出的资源分配机制，鼓励真正参与异构硬件的制造商。资源分配将硬件与软件配对。用户可以明确要求特定数量和类型的硬件。或者，用户可以定义他们的性能价值，然后代理商使用这些价值来竞标硬件。这两种分配机制都依赖于用户偏好的真实表示。研究人员将量化由战略行为引起的效率低下，并将设计分配机制，当战略代理人参与系统时，分配机制是强大的。 妇女和代表性不足的学生将受益于这一研究经验。

With the democratization of cloud computing, increasingly diverse software tasks demand computation from cloud computing. Scalable datacenter computing is a 21st century imperative and energy efficiency is the most pervasive challenge. Increasing capability to extract value from the data deluge requires order-of-magnitude gains in efficiency. While heterogeneous hardware systems provide efficiency, they also complicate resource management. Managing new hardware architectures with economic mechanisms is a qualitatively new approach to mitigate this complexity.The investigators propose resource allocation mechanisms that encourage truthful participation in datacenters with heterogeneous hardware. Resource allocation pairs hardware with software. Users may explicitly request specific amounts and types of hardware. Or users may define their value for performance, which agents then use to bid for hardware. Both allocation mechanisms rely on the truthful representation of preferences from users. The investigators will quantify inefficiencies arising from strategic behavior in datacenters and will design allocation mechanisms that are robust when strategic agents participate in the system. Women and under-represented students will benefit from this research experience.